AIMC Topic: Biological Evolution

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AI evolution: bring biomimicry to language models.

Bioinspiration & biomimetics
Humans can now emulate language in silica-based neural networks, but we remain ignorant about how language emerged in carbon-based neural networks in the first place. This gap represents not merely a scientific blind spot, but a unique opportunity to...

What if eye...? Computationally recreating vision evolution.

Science advances
Natural selection has produced diverse vision systems, from simple patches of photoreceptors to complex camera eyes, representing just one set of evolutionary outcomes. Computational evolution offers a way to systematically test hypotheses, isolate i...

Towards a neuroethological approach to consciousness.

Philosophical transactions of the Royal Society of London. Series B, Biological sciences
Understanding consciousness remains a significant challenge in science. What distinguishes conscious beings from unconscious systems, such as organoids, artificial intelligence or other non-sentient entities? Research on consciousness often focuses o...

New chemicals fuel the evolution of microbial biodegradation.

Microbiology and molecular biology reviews : MMBR
Most known chemicals originate from humans, thousands enter industrial usage annually, and new chemicals pose a continuous challenge to microbial evolution. The evolution of microbes to biodegrade new chemicals is crucial in protecting human and ecos...

Evolutionary and Ecological Drivers of Gut Microbiota in Wild Rodent Species from the Yucatán Peninsula.

Microbial ecology
The host-microbiome association is considered a coevolutionary process, in which the microbiome provides important functions for host development, physiology and health. However, the ecological and evolutionary forces shaping the diversity and struct...

Experimental mapping of bacterial fitness landscapes reveals eco-evolutionary fingerprints.

Scientific reports
Understanding microbial dynamics in natural environments remains a significant challenge. As an alternative approach, studying model bacterial strains under well-defined laboratory conditions can reveal ecological niche patterns and evolutionary cons...

The evolution of discrimination under finite memory constraints.

Scientific reports
We develop an evolutionary model for individual discriminatory behavior that emerges naturally in a mixed population as an adaptive strategy. Our findings show that, when individuals have finite memory and face uncertain environments, they may rely o...

What does evolution make? Learning in living lineages and machines.

Trends in genetics : TIG
How does genomic information unfold, to give rise to self-constructing living organisms with problem-solving capacities at all levels of organization? We review recent progress that unifies work in developmental genetics and machine learning (ML) to ...

Implications From the Analogous Relationship Between Evolutionary and Learning Processes.

BioEssays : news and reviews in molecular, cellular and developmental biology
Organismal evolution is a process of discovering better-fitting phenotypes through trial and error across generations. This iterative process resembles learning processes, an analogy recognized since the 1950s. Recognizing this parallel suggests that...

Pollen morphology, deep learning, phylogenetics, and the evolution of environmental adaptations in Podocarpus.

The New phytologist
Podocarpus pollen morphology is shaped by both phylogenetic history and the environment. We analyzed the relationship between pollen traits quantified using deep learning and environmental factors within a comparative phylogenetic framework. We inves...